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Debug issue

Skill MiaoY0uShan/FP/.claude/skills/debug-issue

Systematically debug issues using graph-powered code navigationFrom its SKILL.md

Install
npx -y skills add MiaoY0uShan/FP --skill debug-issue

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 3 stars3 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.1 KB, 229 tokens by cl100k_base, as published. Nobody here has run it

Debug Issue

Use the knowledge graph to systematically trace and debug issues.

Steps

  1. Use semantic_search_nodes_tool to find code related to the issue.
  2. Use query_graph_tool with callers_of and callees_of to trace call chains.
  3. Use get_flow to see full execution paths through suspected areas.
  4. Run detect_changes_tool to check if recent changes caused the issue.
  5. Use get_impact_radius_tool on suspected files to see what else is affected.

Tips

  • Check both callers and callees to understand the full context.
  • Look at affected flows to find the entry point that triggers the bug.
  • Recent changes are the most common source of new issues.

Token Efficiency Rules

  • ALWAYS start with get_minimal_context(task="<your task>") before any other graph tool.
  • Use detail_level="minimal" on all calls. Only escalate to "standard" when minimal is insufficient.
  • Target: complete any review/debug/refactor task in ≤5 tool calls and ≤800 total output tokens.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.